Vectra AI and Cisco Secure IPS (NGIPS) compete in cybersecurity solutions. Vectra AI holds the upper hand in threat detection accuracy and prioritization, whereas Cisco Secure IPS is distinguished by strong integration features.
Features: Vectra AI is recognized for its accuracy in threat detection across the attack lifecycle and reduces alert fatigue through aggregated risk scores, allowing effective resource prioritization. It efficiently correlates various alerts into single incidents for better prioritization. Cisco Secure IPS (NGIPS) is renowned for its seamless integration within Cisco's product suite, enhanced third-party integrations, and robust network-level threat detection capabilities.
Room for Improvement: Vectra AI requires better integration with SIEM systems and improved customization. Users also call for reduced false positives and better handling of syslogs aligning user and host data. Cisco Secure IPS (NGIPS) can improve in network performance, price competitiveness, DDoS protection support, and refinement of management consoles, with easier handling of hybrid deployments.
Ease of Deployment and Customer Service: Vectra AI deployments are mainly on-premises and hybrid cloud, noted for responsive technical support and incorporating customer feedback into updates. Cisco Secure IPS shares a similar deployment model, with established technical support, although high-volume deployment handling could be simplified.
Pricing and ROI: Vectra AI is seen as costly with complex licensing, concerns raised by smaller organizations despite security enhancement benefits. Cisco Secure IPS is similarly priced, justified by comprehensive features. Both solutions present substantial security value with inherently complex ROI measurement in cybersecurity.
A few years ago, I had a very bad situation. We lost a lot of money, and I opened for the first time in my life, a case with priority one. The person responsible for the ticket didn't respond for two days.
The response was fast, and they provided experts to solve our issues quickly.
Fortinet, on the other hand, offers quicker response times and same-day RMAs, which gives them an edge in customer service.
The support is quite reliable depending on the service engineer assigned.
When I create tickets, the response is fast, and issues are solved promptly.
The software situation with Cisco is problematic.
Incorporating AI capabilities would enhance its functionality.
Graphical interfaces are very nice, but when you've got thousands of objects in a big installation and have to configure many things, CLI is a much faster way to do it.
ExtraHop's ability to decrypt encrypted data is a feature that Vectra AI lacks.
You need to have a Linux server, and from the Linux server, you must perform AI tasks, and there is a lot to be handled in the back end.
Neither Vectra nor Darktrace have a function like a status health check on my log sources and traffic sources.
It's cheaper to integrate with existing IT security solutions compared to other expensive brands with subscription costs.
Vectra is cheaper in terms of pricing and features compared to Darktrace.
It is very acceptable when you compare it with Darktrace, for example.
They can discover new versions of malware, which is very beneficial.
Cisco Secure IPS (NGIPS) is quite powerful for threat detection and includes botnet detection.
The main feature of Vectra AI that I find valuable is its focus on the user interface and its approximately two hundred algorithms based on artificial intelligence and machine learning.
There are extensive out-of-box detection capabilities.
| Product | Market Share (%) |
|---|---|
| Vectra AI | 10.6% |
| Cisco Secure IPS (NGIPS) | 4.5% |
| Other | 84.9% |
| Company Size | Count |
|---|---|
| Small Business | 26 |
| Midsize Enterprise | 17 |
| Large Enterprise | 26 |
| Company Size | Count |
|---|---|
| Small Business | 8 |
| Midsize Enterprise | 10 |
| Large Enterprise | 27 |
Cisco Secure IPS (NGIPS) provides intrusion prevention, malware detection, and DDoS protection with modularity, third-party integration, and cloud capabilities, focusing on flexibility, automation, and real-time threat detection, while offering centralized management and ease of upgrading.
Cisco Secure IPS (NGIPS) is designed to support network security through an open platform, delivering features such as anomaly detection and security intelligence. Users benefit from robust technical support, making it a reliable choice for enterprises seeking to protect their network infrastructures. However, improvements are needed in user-friendliness, interface complexity, and integration with third-party tools. There is a demand for better reporting, sandboxing capabilities, and enhanced AI-driven threat detection and response times, especially for zero-day attacks. Pricing remains a concern due to high costs and licensing complexity.
What are the key features of Cisco Secure IPS?Businesses deploy Cisco Secure IPS (NGIPS) in both on-premises and cloud environments, addressing needs like compliance audits and integration with platforms such as Cisco Talos and Umbrella. Its implementation strengthens perimeter security, enhances cybersecurity in enterprise and banking sectors, and ensures effective threat management for network defense.
Vectra AI enhances security operations by pinpointing attack locations, correlating alerts, and providing in-depth visibility across attack lifecycles, ultimately prioritizing threats and improving incident responses.
Vectra AI integrates AI and machine learning to detect anomalies early and supports proactive threat response. Its features like risk scoring, alert correlation, and streamlined SOC efficiency are supplemented by integration with tools like Office 365. Users highlight integration, reporting, and customization challenges, alongside limitations in syslog data and false positive management. They seek enhancements in visualization, UI, TCP replay, endpoint visibility, and tool orchestration, with requests for improved documentation, licensing, and cloud processing innovation.
What are the key features of Vectra AI?In industries like finance, healthcare, and critical infrastructure, Vectra AI is crucial for threat detection and network monitoring. Entities use it for identifying anomalous behaviors and enhancing cybersecurity by responding to network activities and analyzing traffic for potential breaches. It operates on-premises and in hybrid cloud settings, enabling threat detection without endpoint agents and supporting compliance and policy enforcement.
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